I used clean audio clips from episodes of the anime and generated 1 minute of normal speech using the F5 TTS feature on Hugging Face and trained it on Google colab for 250 epochs.

Tip: Lower the transpose number and pitch for better accurate results, for a male to male voice around -6 to -12 is accurate.

Additional Details:

Tags: Game Freak, Nintendo, Anime, huggingface, ai-model

Related URL: https://huggingface.co/Ryanham1lton/DragoniteKK/resolve/main/Dragonite.zip?download=true

Download Link: https://huggingface.co/Ryanham1lton/DragoniteKK/resolve/main/Dragonite.zip?download=true Hosted on Hugging Face

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Voice accords

Main sonic traits

Selected-sample labels, grouped by what they describe.

Age

middle aged adult

teenage

young adult

Music use

producer tag

rap

adlibs

Style/timbre

anime

villain

energetic

Use case

game

social

podcasts

Sample deck

Lean and sweet spot

Pick a pitch, compare the Quality Score, then Run. Hold Ctrl or Cmd to select multiple pitches.

top 4.30 · avg 3.80

female

0

male

18

male base · pitch 0 Quality Score 3.61 · heard as male

Autorun

Run

male

-16 3.78 -12 4.22 -8 4.17 -4 3.92 0 3.61 4 3.20 8 3.74 12 2.80 16 3.40

female

-16 4.05 -12 4.30 -8 4.11 -4 4.23 0 3.79 4 4.08 8 3.81 12 2.97 16 4.29

heard female heard male Quality Score = estimated audio quality, higher is better Ctrl/Cmd-click = select multiple pitches

Similar voices

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